车辆画像
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全维度车况深度洞察：输出 16 项核心评分（含车辆里程、黎明 / 深夜出行、月均车速、疲劳驾驶、高速行驶等），覆盖 “行驶行为 - 里程状态 - 区域分布” 全场景，替代传统单一车况检测（如仅看里程），帮助企业降低车况误判率 40%+，避免因信息不全导致的决策偏差 历史趋势动态追踪：支持多月度数据回溯（示例含 202409-202501 共 5 个月评分），可直观分析车辆使用习惯变化（如疲劳驾驶时长下降、月均里程波动），为长期风控、车况评估提供动态依据，将风险预判提前量延长至 3 个月以上 敏感数据安全合规：支持 vin 码明文或 MD5 加密传参，避免车架号等核心标识明文暴露，同时应答中 “deviceIdHash” 字段采用 MD5 加密，符合《数据安全法》《个人信息保护法》要求，数据泄露风险降低 98% 以上，规避合规风险
Full-dimensional In-depth Vehicle Condition Insight: Outputs 16 core scoring metrics including vehicle mileage, dawn/late-night trips, average monthly speed, fatigued driving, high-speed driving, etc., covering all scenarios across driving behavior, mileage status and regional distribution. Replacing traditional single-factor vehicle condition detection (e.g., only relying on mileage), it helps enterprises reduce the vehicle condition misjudgment rate by over 40% and avoid decision biases caused by incomplete information. Dynamic Historical Trend Tracking: Supports multi-month data backtracking (the example includes 5 months of scoring data from September 2024 to January 2025), enabling intuitive analysis of changes in vehicle usage habits such as reduced fatigued driving duration and fluctuations in average monthly mileage. It provides dynamic basis for long-term risk control and vehicle condition assessment, extending the advance period of risk prediction to over 3 months. Sensitive Data Security and Compliance: Supports transmitting parameters with plaintext VIN codes or MD5-encrypted values to avoid exposing core identifiers such as vehicle identification numbers in plaintext. Meanwhile, the "deviceIdHash" field in the response adopts MD5 encryption, which complies with the requirements of the Data Security Law of the People's Republic of China and the Personal Information Protection Law of the People's Republic of China. It reduces the risk of data leakage by over 98% and avoids compliance risks.
